Results 71 to 80 of about 4,786,586 (290)
Towards Deep-Sea Toxicology: Experimental Approaches With Echinoderms [PDF]
As anthropogenic activities expand into the deep sea, it is only recently that the importance ofdeep-sea ecosystems and processes to global biogeochemical systems has become clear.
Hughes, Sarah Jane Murty
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From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
Global Environmental Science Seminar Infographic: Consequences of Deep Sea Mining
Deep Sea Mining GES100 ...
Lachman, Danielle, Westerhausen, Ande
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XeraBorg: Neural Control of Tail‐Flick Escape for Backward Propulsion in Cyborg Crayfish
This work presents the first controlled tail‐flick propulsion method for the cyborg Cherax quadricarinatus. Comprehensive experiments establish a foundational framework for using the crayfish's natural escape mechanism as a locomotion strategy, expanding its potential as an underwater and amphibious mobile robot.
H. Nhan Le +7 more
wiley +1 more source
Three species of copepods belonging to the family Dirivultidae (Siphonostomatoida) are collected from a deep sea hydrothermal vent field on the Central Indian Ridge in the Indian Ocean during the conduct the deep sea research cruse (July 28 – ...
이지민 +3 more
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Deep-sea mining impacts on larval survival of the deep-sea coral Desmophyllum pertusum
In this dataset, we report the results of an aquaria experiment aiming at determining the impacts of Polymetallic sulfide (PMS) plumes of varying concentrations created by deep-sea mining on larval survival of the deep-sea coral Desmophyllum pertusum ...
Sire de Vilar, Anaïs +2 more
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An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Autonomous underwater vehicles and their application in Deep-sea Mining
This paper given an example for lake test of Deep-sea Mining System and introduced the application of AUV in mineral resources investigates. In pre-mining, We used AUV to survey topography and physiognomy of the lake, distribute and quantity of ...
Yan KC(燕奎臣), Li YP(李一平)
core
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Exploring plausible future scenarios of deep seabed mining in international waters
The global transition to renewable energy has intensified the demand for critical minerals, which are essential components in key green technologies. Many of these minerals are abundant on the international seabed, but negotiations surrounding deep-sea ...
Aurora Cato, Philippe Evoy
doaj +1 more source

